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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | Artificial Intelligence Based Disease Prediction |
| Authors Name: | Ajmal jamal , Alok kumar Patel , Aniruddh kumar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202670
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| Published Paper Id: | IJRTI2504295 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | This study highlights the revolutionary significance of artificial intelligence (AI) while offering a thorough and perceptive analysis of the state of healthcare prediction today. It highlights the significant breakthroughs made possible by integrating AI while addressing the related difficulties. This work aims to progress the field of disease detection and prediction by presenting results from a thorough analysis of recent research literature. Intelligent systems play a critical role in interpreting complex data patterns to produce insightful forecasts, underscoring the importance of healthcare prediction in saving lives. The review covers a variety of studies and provides in-depth information about the methodology applied in each. Additionally, it highlights important obstacles that need to be removed in order to properly utilize AI's promise for medical diagnosis and prediction, and it offers workable solutions to these problems. Previous studies highlight the critical role AI plays in improving diagnostic precision, predicting health trends, and evaluating enormous amounts of clinical data, which makes it possible to rebuild patients' medical histories and provide accurate healthcare insights. |
| Keywords: | Artificial Intelligence (AI), Healthcare prediction, Disease detection, Medical diagnosis, Intelligent systems, Clinical data analysis, Predictive analytics, Health trend forecasting |
| Cite Article: | "Artificial Intelligence Based Disease Prediction ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c612-c616, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504295.pdf |
| Downloads: | 000386 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504295
Registration ID:202670
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: c612-c616 Country: greater noida, uttar pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504295 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504295 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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